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Techniques for modeling large-scale HPC I/O workloads
2015
Proceedings of the 6th International Workshop on Performance Modeling, Benchmarking, and Simulation of High Performance Computing Systems - PMBS '15
Accurate analysis of HPC storage system designs is contingent on the use of I/O workloads that are truly representative of expected use. However, I/O analyses are generally bound to specific workload modeling techniques such as synthetic benchmarks or trace replay mechanisms, despite the fact that no single workload modeling technique is appropriate for all use cases. In this work, we present the design of IOWA, a novel I/O workload abstraction that allows arbitrary workload consumer components
doi:10.1145/2832087.2832091
dblp:conf/sc/SnyderCLMRCBLBP15
fatcat:7cxcbtpmdjgqfeeg5vtdjhv5g4